In-App Advertising Market by Advertising Format (Display, Video, Audio), Platform Type (Smartphone, Tablet, Connected TV), Operating System, Application, Organization Size - Global Forecast 2025-2032
Description
The In-App Advertising Market was valued at USD 180.95 billion in 2024 and is projected to grow to USD 205.46 billion in 2025, with a CAGR of 13.94%, reaching USD 514.28 billion by 2032.
A concise orientation to the converging forces transforming in-app advertising ecosystems while highlighting privacy, attention, and monetization trade-offs for decision-makers
The in-app advertising environment is now at a strategic inflection point as mobile devices, shifting consumer behavior, and privacy regulation converge to reshape how brands engage audiences. This introduction synthesizes the most salient dynamics influencing ad monetization, creative formats, and measurement approaches, while emphasizing the operational implications for media planners, product owners, and monetization teams. It frames the subsequent analysis by focusing on persistent themes: attention fragmentation across apps, heightened user privacy expectations, and the technological innovations enabling more contextual and identity-light targeting.
Across the ecosystem, programmatic demand-side and supply-side interactions are evolving to accommodate new constraints on deterministic identifiers and rising investment in immersive formats. The introduction positions readers to appreciate the interplay between platform-level controls, publisher strategies to protect revenue, and advertiser needs for transparent performance metrics. By setting out these strategic contours, this section prepares stakeholders to interpret regulatory shocks, device-driven consumption shifts, and segmentation insights that follow in later parts of the report.
How platform controls, privacy-safe targeting, and immersive creative formats are collectively redefining value exchange, measurement practices, and media strategies in in-app advertising
The in-app advertising landscape has undergone a series of transformative shifts that are redefining value exchange among users, developers, platforms, and advertisers. Moving beyond simple format substitution, the transformation encompasses a rebalancing of power toward platforms that control identity layers and trade-offs between personalized relevance and contextual safety. This has prompted a surge in investment in on-device signal processing, first-party data architectures, and server-side bidding constructs that aim to preserve yield while respecting new consent regimes.
Simultaneously, creative innovation has moved from static banners to rich media experiences, playable ads, and native integrations that seek to maximize attention in shorter, more frequent sessions. The shift also includes the commoditization of viewability standards and deeper integration with measurement partners that can validate outcomes without relying on deprecated identifiers. As a result, media strategies are tilting toward hybrid approaches that blend contextual targeting, aggregated measurement, and performance-based buying to sustain efficiency under constrained identity environments.
Assessing the ripple effects of 2025 tariff measures on device availability, consumer replacement cycles, and strategic reallocations in in-app advertising monetization
The imposition of tariffs in 2025 has had material implications for supply chains, device costs, and ultimately advertiser economics across multiple digital channels, including in-app advertising. While tariffs do not directly tax ad impressions, they affect device lifecycles, consumer upgrade cadence, and hardware availability, which in turn influence the distribution and composition of active users in different device segments. These dynamics have introduced friction into long-term planning, prompting advertisers to reassess the relative efficiency of campaigns that rely on newer hardware features versus those optimized for broader device compatibility.
In response, media strategists have reallocated investments to prioritize cross-device resilience and to ensure creative and tracking solutions function across a wider matrix of device generations. Publishers have also adjusted monetization strategies to mitigate potential declines in premium device inventories by enhancing contextual packages and diversifying revenue with subscription and mixed-revenue models. Collectively, these shifts underscore the importance of scenario planning, flexible creative libraries, and testing regimes that can validate performance across changing device populations and regional supply constraints.
Detailed segmentation synthesis linking device typologies and demographic cohorts to inventory characteristics, creative suitability, and campaign optimization levers for practitioners
Segmentation analysis reveals how device characteristics and audience demographics jointly shape inventory quality, engagement patterns, and creative effectiveness. Based on device type, the market is studied across smartphone, tablet, and wearable, with smartphones further dissected by manufacturer and screen size; the manufacturer dimension isolates Apple and Samsung, while the screen size dimension differentiates large screen devices greater than six inches, medium screen devices five to six inches, and small screen devices under five inches. Tablets are considered through a screen size lens that separates large units above eight inches from small units below eight inches. This device-focused segmentation surfaces predictable differences in session length, ad creative suitability, and the technical capabilities that support advanced formats such as rewarded video and interactive units.
Complementing device segmentation, the market is examined by audience demographics with analysis across age group and gender; the age group categorization separates cohorts into 18 to 34, 35 to 49, 50 and above, and under 18, while gender is analyzed through female and male cohorts. These demographic cohorts show distinct app category affinities, conversion funnels, and sensitivity to ad cadence. When device and demographic lenses are combined, patterns emerge that inform creative sizing, frequency capping, and bid strategy design. For instance, large-screen smartphone users within younger cohorts demonstrate higher receptivity to immersive and interactive formats, whereas smaller-screen and older cohorts tend toward concise, contextually relevant messaging that minimizes intrusiveness.
A comparative regional analysis of how Americas, Europe Middle East & Africa, and Asia-Pacific differ in regulatory, technological, and consumer behaviors shaping in-app advertising execution
Regional dynamics are a decisive factor in how in-app advertising strategies are crafted and executed. In the Americas, audience penetration, app monetization sophistication, and advertiser demand for measurable outcomes drive heavy uptake of programmatic tooling and advanced measurement frameworks. Market participants in this region prioritize scale, cross-platform measurement, and close alignment between creative testing and performance outcomes, which collectively accelerate innovation cycles and elevate standards for viewability and fraud mitigation.
In Europe, Middle East & Africa, regulatory regimes and cultural heterogeneity shape consent frameworks and contextual relevance, compelling advertisers to invest in localized creative strategies and privacy-respecting data architectures. Publishers in this combined region emphasize compliance, multiproduct revenue models, and partnerships that enhance premium inventory. In Asia-Pacific, device diversity, rapid adoption of mobile-first app experiences, and distinct user behavior patterns incentivize experimentation with native commerce integrations, in-app mini-programs, and localized ad formats that resonate with high-engagement audiences. Cross-regional strategies increasingly involve harmonizing measurement taxonomies while allowing for tactical differentiation to respect regional consumption norms and regulatory conditions.
Insights into corporate strategies, platform partnerships, and technology investments that determine competitive positioning and monetization resilience across the in-app advertising value chain
Corporate strategies among leading ecosystem participants reveal convergent priorities: retaining control of identity layers, expanding monetization toolkits for publishers, and enabling advertisers to operate within privacy-preserving frameworks. Technology vendors are investing in solutions that facilitate aggregation of signals, deterministic opt-ins, and privacy-safe attribution, while publishers are balancing direct-sold premium deals with programmatic access to maximize yield. Demand-side platforms and agency trading desks are evolving their targeting stacks to blend contextual intelligence with on-device signal enrichment, preserving actionable audience segments without contravening consent regimes.
Partnerships and platform-level feature rollouts are central to competitive differentiation. Firms that can deliver transparent measurement, fraud protection, and seamless creative adaptation across device types are gaining preference among advertisers seeking predictable outcomes. Meanwhile, companies that offer streamlined integrations for smaller publishers and indie developers are unlocking new inventory pools. The competitive narrative underscores the importance of interoperability, robust SDK governance, and clear contractual arrangements that delineate responsibilities for data handling and measurement reconciliations.
Actionable strategic imperatives for leaders to secure revenue resilience and privacy-forward capabilities while enabling creative agility and multi-partner measurement strategies
Industry leaders should adopt a pragmatic, multi-horizon approach that accelerates near-term revenue stability while building capabilities for a privacy-centric future. First, prioritize investments in contextual targeting and creative modularity so campaigns remain effective independent of user-level identifiers. This requires harmonized creative libraries, rapid A/B testing protocols, and dynamic asset delivery systems that tailor messaging to device capabilities and demographic cues. Second, strengthen first-party data capabilities through clear consent flows, value-exchange propositions for users, and on-device analytics that preserve privacy while generating actionable signals.
Third, diversify revenue and measurement partners to reduce single-point dependencies and to enable validation through independent attribution and viewability assessment. Fourth, prepare procurement and legal frameworks to handle vendor interoperability, SDK governance, and cross-border data considerations, ensuring that contractual terms reflect operational realities. Finally, institutionalize rigorous scenario planning to model device availability shifts, regulatory shocks, and tariff-driven supply disruptions, and align media budgets to support iterative learning cycles and rapid reallocation when channel dynamics change.
A transparent, multi-method research approach combining executive interviews, technical audits, and cohort analytics to validate insights and ensure reproducibility across device and regional segments
The research methodology combines multi-source qualitative and quantitative inputs to construct a rigorous understanding of in-app advertising dynamics. Primary research includes structured interviews with senior executives across demand- and supply-side firms, creative agencies, and publisher monetization teams, supplemented by technical audits of SDK implementations and creative performance across device classes. Secondary research comprises policy analysis, platform documentation reviews, and synthesis of publicly available technical guidance on privacy frameworks and measurement standards.
Analytical methods include cohort-based behavioral analysis segmented by device attributes and demographics, cross-regional comparative assessments, and scenario-based impact modeling to explore the operational consequences of regulatory changes and tariff-induced supply constraints. Triangulation across sources ensures robust validation of observed patterns, while sensitivity checks and peer review of findings mitigate bias. The methodology prioritizes transparency and reproducibility, with documented assumptions and a clear chain of evidence linking insights to underlying data and interviews.
Concluding perspectives on integrating contextual intelligence, privacy-preserving measurement, and cross-functional execution to secure long-term value in in-app advertising
In closing, the in-app advertising landscape demands that stakeholders move beyond incremental optimization and embrace structural strategies that align monetization, privacy, and product design. The interplay of device heterogeneity, demographic nuance, regulatory evolution, and geopolitically influenced supply constraints necessitates flexible media architectures and investment in privacy-preserving measurement. Leaders who integrate contextual intelligence, modular creative operations, and robust vendor governance will be best positioned to capture durable value while adapting to rapid change.
The concluding perspective emphasizes executional discipline: prioritize initiatives that yield immediate improvements in campaign efficiency and simultaneously build institutional capabilities for long-term resilience. Coordinated cross-functional efforts between product, legal, privacy, and commercial teams will accelerate the translation of insights into measurable outcomes, enabling organizations to sustain growth amid shifting technological and policy landscapes.
Note: PDF & Excel + Online Access - 1 Year
A concise orientation to the converging forces transforming in-app advertising ecosystems while highlighting privacy, attention, and monetization trade-offs for decision-makers
The in-app advertising environment is now at a strategic inflection point as mobile devices, shifting consumer behavior, and privacy regulation converge to reshape how brands engage audiences. This introduction synthesizes the most salient dynamics influencing ad monetization, creative formats, and measurement approaches, while emphasizing the operational implications for media planners, product owners, and monetization teams. It frames the subsequent analysis by focusing on persistent themes: attention fragmentation across apps, heightened user privacy expectations, and the technological innovations enabling more contextual and identity-light targeting.
Across the ecosystem, programmatic demand-side and supply-side interactions are evolving to accommodate new constraints on deterministic identifiers and rising investment in immersive formats. The introduction positions readers to appreciate the interplay between platform-level controls, publisher strategies to protect revenue, and advertiser needs for transparent performance metrics. By setting out these strategic contours, this section prepares stakeholders to interpret regulatory shocks, device-driven consumption shifts, and segmentation insights that follow in later parts of the report.
How platform controls, privacy-safe targeting, and immersive creative formats are collectively redefining value exchange, measurement practices, and media strategies in in-app advertising
The in-app advertising landscape has undergone a series of transformative shifts that are redefining value exchange among users, developers, platforms, and advertisers. Moving beyond simple format substitution, the transformation encompasses a rebalancing of power toward platforms that control identity layers and trade-offs between personalized relevance and contextual safety. This has prompted a surge in investment in on-device signal processing, first-party data architectures, and server-side bidding constructs that aim to preserve yield while respecting new consent regimes.
Simultaneously, creative innovation has moved from static banners to rich media experiences, playable ads, and native integrations that seek to maximize attention in shorter, more frequent sessions. The shift also includes the commoditization of viewability standards and deeper integration with measurement partners that can validate outcomes without relying on deprecated identifiers. As a result, media strategies are tilting toward hybrid approaches that blend contextual targeting, aggregated measurement, and performance-based buying to sustain efficiency under constrained identity environments.
Assessing the ripple effects of 2025 tariff measures on device availability, consumer replacement cycles, and strategic reallocations in in-app advertising monetization
The imposition of tariffs in 2025 has had material implications for supply chains, device costs, and ultimately advertiser economics across multiple digital channels, including in-app advertising. While tariffs do not directly tax ad impressions, they affect device lifecycles, consumer upgrade cadence, and hardware availability, which in turn influence the distribution and composition of active users in different device segments. These dynamics have introduced friction into long-term planning, prompting advertisers to reassess the relative efficiency of campaigns that rely on newer hardware features versus those optimized for broader device compatibility.
In response, media strategists have reallocated investments to prioritize cross-device resilience and to ensure creative and tracking solutions function across a wider matrix of device generations. Publishers have also adjusted monetization strategies to mitigate potential declines in premium device inventories by enhancing contextual packages and diversifying revenue with subscription and mixed-revenue models. Collectively, these shifts underscore the importance of scenario planning, flexible creative libraries, and testing regimes that can validate performance across changing device populations and regional supply constraints.
Detailed segmentation synthesis linking device typologies and demographic cohorts to inventory characteristics, creative suitability, and campaign optimization levers for practitioners
Segmentation analysis reveals how device characteristics and audience demographics jointly shape inventory quality, engagement patterns, and creative effectiveness. Based on device type, the market is studied across smartphone, tablet, and wearable, with smartphones further dissected by manufacturer and screen size; the manufacturer dimension isolates Apple and Samsung, while the screen size dimension differentiates large screen devices greater than six inches, medium screen devices five to six inches, and small screen devices under five inches. Tablets are considered through a screen size lens that separates large units above eight inches from small units below eight inches. This device-focused segmentation surfaces predictable differences in session length, ad creative suitability, and the technical capabilities that support advanced formats such as rewarded video and interactive units.
Complementing device segmentation, the market is examined by audience demographics with analysis across age group and gender; the age group categorization separates cohorts into 18 to 34, 35 to 49, 50 and above, and under 18, while gender is analyzed through female and male cohorts. These demographic cohorts show distinct app category affinities, conversion funnels, and sensitivity to ad cadence. When device and demographic lenses are combined, patterns emerge that inform creative sizing, frequency capping, and bid strategy design. For instance, large-screen smartphone users within younger cohorts demonstrate higher receptivity to immersive and interactive formats, whereas smaller-screen and older cohorts tend toward concise, contextually relevant messaging that minimizes intrusiveness.
A comparative regional analysis of how Americas, Europe Middle East & Africa, and Asia-Pacific differ in regulatory, technological, and consumer behaviors shaping in-app advertising execution
Regional dynamics are a decisive factor in how in-app advertising strategies are crafted and executed. In the Americas, audience penetration, app monetization sophistication, and advertiser demand for measurable outcomes drive heavy uptake of programmatic tooling and advanced measurement frameworks. Market participants in this region prioritize scale, cross-platform measurement, and close alignment between creative testing and performance outcomes, which collectively accelerate innovation cycles and elevate standards for viewability and fraud mitigation.
In Europe, Middle East & Africa, regulatory regimes and cultural heterogeneity shape consent frameworks and contextual relevance, compelling advertisers to invest in localized creative strategies and privacy-respecting data architectures. Publishers in this combined region emphasize compliance, multiproduct revenue models, and partnerships that enhance premium inventory. In Asia-Pacific, device diversity, rapid adoption of mobile-first app experiences, and distinct user behavior patterns incentivize experimentation with native commerce integrations, in-app mini-programs, and localized ad formats that resonate with high-engagement audiences. Cross-regional strategies increasingly involve harmonizing measurement taxonomies while allowing for tactical differentiation to respect regional consumption norms and regulatory conditions.
Insights into corporate strategies, platform partnerships, and technology investments that determine competitive positioning and monetization resilience across the in-app advertising value chain
Corporate strategies among leading ecosystem participants reveal convergent priorities: retaining control of identity layers, expanding monetization toolkits for publishers, and enabling advertisers to operate within privacy-preserving frameworks. Technology vendors are investing in solutions that facilitate aggregation of signals, deterministic opt-ins, and privacy-safe attribution, while publishers are balancing direct-sold premium deals with programmatic access to maximize yield. Demand-side platforms and agency trading desks are evolving their targeting stacks to blend contextual intelligence with on-device signal enrichment, preserving actionable audience segments without contravening consent regimes.
Partnerships and platform-level feature rollouts are central to competitive differentiation. Firms that can deliver transparent measurement, fraud protection, and seamless creative adaptation across device types are gaining preference among advertisers seeking predictable outcomes. Meanwhile, companies that offer streamlined integrations for smaller publishers and indie developers are unlocking new inventory pools. The competitive narrative underscores the importance of interoperability, robust SDK governance, and clear contractual arrangements that delineate responsibilities for data handling and measurement reconciliations.
Actionable strategic imperatives for leaders to secure revenue resilience and privacy-forward capabilities while enabling creative agility and multi-partner measurement strategies
Industry leaders should adopt a pragmatic, multi-horizon approach that accelerates near-term revenue stability while building capabilities for a privacy-centric future. First, prioritize investments in contextual targeting and creative modularity so campaigns remain effective independent of user-level identifiers. This requires harmonized creative libraries, rapid A/B testing protocols, and dynamic asset delivery systems that tailor messaging to device capabilities and demographic cues. Second, strengthen first-party data capabilities through clear consent flows, value-exchange propositions for users, and on-device analytics that preserve privacy while generating actionable signals.
Third, diversify revenue and measurement partners to reduce single-point dependencies and to enable validation through independent attribution and viewability assessment. Fourth, prepare procurement and legal frameworks to handle vendor interoperability, SDK governance, and cross-border data considerations, ensuring that contractual terms reflect operational realities. Finally, institutionalize rigorous scenario planning to model device availability shifts, regulatory shocks, and tariff-driven supply disruptions, and align media budgets to support iterative learning cycles and rapid reallocation when channel dynamics change.
A transparent, multi-method research approach combining executive interviews, technical audits, and cohort analytics to validate insights and ensure reproducibility across device and regional segments
The research methodology combines multi-source qualitative and quantitative inputs to construct a rigorous understanding of in-app advertising dynamics. Primary research includes structured interviews with senior executives across demand- and supply-side firms, creative agencies, and publisher monetization teams, supplemented by technical audits of SDK implementations and creative performance across device classes. Secondary research comprises policy analysis, platform documentation reviews, and synthesis of publicly available technical guidance on privacy frameworks and measurement standards.
Analytical methods include cohort-based behavioral analysis segmented by device attributes and demographics, cross-regional comparative assessments, and scenario-based impact modeling to explore the operational consequences of regulatory changes and tariff-induced supply constraints. Triangulation across sources ensures robust validation of observed patterns, while sensitivity checks and peer review of findings mitigate bias. The methodology prioritizes transparency and reproducibility, with documented assumptions and a clear chain of evidence linking insights to underlying data and interviews.
Concluding perspectives on integrating contextual intelligence, privacy-preserving measurement, and cross-functional execution to secure long-term value in in-app advertising
In closing, the in-app advertising landscape demands that stakeholders move beyond incremental optimization and embrace structural strategies that align monetization, privacy, and product design. The interplay of device heterogeneity, demographic nuance, regulatory evolution, and geopolitically influenced supply constraints necessitates flexible media architectures and investment in privacy-preserving measurement. Leaders who integrate contextual intelligence, modular creative operations, and robust vendor governance will be best positioned to capture durable value while adapting to rapid change.
The concluding perspective emphasizes executional discipline: prioritize initiatives that yield immediate improvements in campaign efficiency and simultaneously build institutional capabilities for long-term resilience. Coordinated cross-functional efforts between product, legal, privacy, and commercial teams will accelerate the translation of insights into measurable outcomes, enabling organizations to sustain growth amid shifting technological and policy landscapes.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
184 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of AI-driven dynamic ad personalization based on real-time user behaviors within apps
- 5.2. Growth of rewarded video ad formats integrated within gaming and lifestyle applications
- 5.3. Implementation of SKAdNetwork and IDFA alternatives reshaping mobile ad attribution strategies
- 5.4. Expansion of programmatic in-app audio ad placements within music and podcast streaming services
- 5.5. Use of geofencing and location-based push notifications for hyper-local in-app promotions
- 5.6. Integration of augmented reality ad overlays within shopping and social media applications
- 5.7. Emphasis on privacy-compliant contextual targeting engines replacing cookie-based audience segmentation
- 5.8. Proliferation of playables and interactive ad experiences within mobile gaming environments
- 5.9. Cross-platform measurement solutions unifying in-app, connected TV, and browser campaign analytics
- 5.10. Leveraging blockchain-based fraud detection tools to eliminate invalid traffic in mobile apps
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. In-App Advertising Market, by Advertising Format
- 8.1. Display
- 8.1.1. Banner
- 8.1.1.1. Standard Banner
- 8.1.1.2. Sticky Banner
- 8.1.1.3. Expandable Banner
- 8.1.2. Interstitial
- 8.1.2.1. Static Interstitial
- 8.1.2.2. Rich Media Interstitial
- 8.1.3. Native
- 8.1.3.1. In-Feed Native
- 8.1.3.2. Content Recommendation Native
- 8.1.3.3. In-Ad Native
- 8.2. Video
- 8.2.1. In-Stream Video
- 8.2.2. Out-Stream Video
- 8.2.3. Rewarded Video
- 8.2.4. Playable Video
- 8.3. Audio
- 8.3.1. In-Stream Audio
- 8.3.2. Podcast Audio
- 8.3.3. Background Audio
- 8.4. Rich Media
- 8.4.1. Interactive Rich Media
- 8.4.2. Gamified Rich Media
- 8.5. Sponsored Content
- 8.5.1. Sponsored Articles
- 8.5.2. Sponsored Listings
- 9. In-App Advertising Market, by Platform Type
- 9.1. Smartphone
- 9.2. Tablet
- 9.3. Connected TV
- 9.4. Wearable
- 9.5. In-Car System
- 9.6. Gaming Console
- 10. In-App Advertising Market, by Operating System
- 10.1. Android
- 10.2. iOS
- 10.3. HarmonyOS
- 11. In-App Advertising Market, by Application
- 11.1. Gaming
- 11.1.1. Casual Games
- 11.1.2. Mid-Core Games
- 11.1.3. Hardcore Games
- 11.1.4. Casino Games
- 11.2. Entertainment
- 11.2.1. Video Streaming
- 11.2.2. Music Streaming
- 11.2.3. Social Media
- 11.2.4. Short-Form Video
- 11.3. Productivity
- 11.3.1. Office Tools
- 11.3.2. Communication
- 11.3.3. Cloud Storage
- 11.4. Utilities
- 11.4.1. Security
- 11.4.2. File Management
- 11.4.3. System Optimization
- 11.5. Shopping
- 11.5.1. Marketplaces
- 11.5.2. Brand Retail
- 11.5.3. Coupon & Deal
- 11.6. Travel & Local
- 11.6.1. Ride Hailing
- 11.6.2. Accommodation
- 11.6.3. Flight Booking
- 11.6.4. Local Discovery
- 11.7. Finance
- 11.7.1. Banking
- 11.7.2. Payment & Wallet
- 11.7.3. Investment & Trading
- 11.7.4. Insurance
- 11.8. Health & Fitness
- 11.8.1. Wellness
- 11.8.2. Activity Tracking
- 11.8.3. Telemedicine
- 11.9. Education
- 11.9.1. Language Learning
- 11.9.2. K-12 Learning
- 11.9.3. Professional Learning
- 11.10. News & Information
- 11.10.1. General News
- 11.10.2. Niche Publications
- 12. In-App Advertising Market, by Organization Size
- 12.1. Large Enterprise
- 12.2. Small & Medium Business
- 13. In-App Advertising Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. In-App Advertising Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. In-App Advertising Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Adscompass Sp. z o.o
- 16.3.2. Amobee, Inc.
- 16.3.3. Apple, Inc.
- 16.3.4. AppLovin Corporation
- 16.3.5. Bidease inc.
- 16.3.6. BYYD Inc.
- 16.3.7. Chartboost, Inc.
- 16.3.8. Coalition Technologies LLC
- 16.3.9. Glispa GmbH
- 16.3.10. Google LLC by Alphabet Inc.
- 16.3.11. Hitapps
- 16.3.12. InMobi
- 16.3.13. InMobi Pte. Ltd.
- 16.3.14. ironSource Ltd.
- 16.3.15. Leadbolt
- 16.3.16. Microsoft Corporation
- 16.3.17. PubMatic Inc.
- 16.3.18. Smaato, Inc.
- 16.3.19. The Rubicon Project, Inc.
- 16.3.20. TUNE, Inc.
- 16.3.21. Verizon Communications Inc.
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
